A hybrid knowledge-based system for collaborative green manufacturing management
This research is oriented towards the development of a new hybrid knowledge-based system for planning, design, and implementation of collaborative green manufacturing system (CGMM). We propose the development of a conceptual model of CGMM, and then translate it into a knowledge-based system, with th...
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Universiti Utara Malaysia
2014
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my.uum.repo.127692016-05-23T02:14:39Z http://repo.uum.edu.my/12769/ A hybrid knowledge-based system for collaborative green manufacturing management Mohd Nawawi, Mohd Kamal Mat Tahar, Razman Salit, Mohd Safuan Nik Mohamed, Nik Mohd Zuki QA76 Computer software This research is oriented towards the development of a new hybrid knowledge-based system for planning, design, and implementation of collaborative green manufacturing system (CGMM). We propose the development of a conceptual model of CGMM, and then translate it into a knowledge-based system, with the goal of investigating the recent state of green manufacturing philosophy practised in the automotive industry and its supply chain as compared to the ideal system. A prototype of reliable hybrid KBS is produced as a decision making tool to assist the management and policy makers in implementing the CGMM.The system captured the activities in the CGMM that have potential opportunity for collaborative development through the green value chain gap measurement in CGMM The results showed what the organizations‟ potential opportunity of their abilities compared to their partners‟ potential opportunity in the green supply chain Universiti Utara Malaysia 2014 Monograph NonPeerReviewed application/pdf en http://repo.uum.edu.my/12769/1/1.pdf Mohd Nawawi, Mohd Kamal and Mat Tahar, Razman and Salit, Mohd Safuan and Nik Mohamed, Nik Mohd Zuki (2014) A hybrid knowledge-based system for collaborative green manufacturing management. Project Report. Universiti Utara Malaysia, Sintok. (Unpublished) |
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QA76 Computer software Mohd Nawawi, Mohd Kamal Mat Tahar, Razman Salit, Mohd Safuan Nik Mohamed, Nik Mohd Zuki A hybrid knowledge-based system for collaborative green manufacturing management |
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This research is oriented towards the development of a new hybrid knowledge-based system for planning, design, and implementation of collaborative green manufacturing system (CGMM). We propose the development of a conceptual model of CGMM, and then translate it into a knowledge-based system, with the goal of investigating the recent state of green manufacturing philosophy practised in the automotive industry and its
supply chain as compared to the ideal system. A prototype of reliable hybrid KBS is produced as a decision making tool to assist the management and policy makers in implementing the CGMM.The system captured the activities in the CGMM that have
potential opportunity for collaborative development through the green value chain gap
measurement in CGMM The results showed what the organizations‟ potential opportunity of their abilities compared to their partners‟ potential opportunity in the green supply chain |
format |
Monograph |
author |
Mohd Nawawi, Mohd Kamal Mat Tahar, Razman Salit, Mohd Safuan Nik Mohamed, Nik Mohd Zuki |
author_facet |
Mohd Nawawi, Mohd Kamal Mat Tahar, Razman Salit, Mohd Safuan Nik Mohamed, Nik Mohd Zuki |
author_sort |
Mohd Nawawi, Mohd Kamal |
title |
A hybrid knowledge-based system for collaborative green manufacturing management |
title_short |
A hybrid knowledge-based system for collaborative green manufacturing management |
title_full |
A hybrid knowledge-based system for collaborative green manufacturing management |
title_fullStr |
A hybrid knowledge-based system for collaborative green manufacturing management |
title_full_unstemmed |
A hybrid knowledge-based system for collaborative green manufacturing management |
title_sort |
hybrid knowledge-based system for collaborative green manufacturing management |
publisher |
Universiti Utara Malaysia |
publishDate |
2014 |
url |
http://repo.uum.edu.my/12769/1/1.pdf http://repo.uum.edu.my/12769/ |
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1644280996410949632 |